Commit Graph
4 Commits
Author SHA1 Message Date
baf1a47798 v0.35.0.0 feat: ZeroEntropy zembed-1 + zerank-2 reranker (#1008)
* feat(ai): add ZeroEntropy recipe + reranker touchpoint type

Widens `TouchpointKind` with `'reranker'`, adds `RerankerTouchpoint`
interface, extends `Recipe.touchpoints` and `AIGatewayConfig` to carry
reranker model state. Registers `zeroentropyai` recipe (zembed-1
embeddings + zerank-{2,1,1-small} rerankers) in the recipe registry.

Recipe declares the 7 Matryoshka dims (2560/1280/640/320/160/80/40),
Voyage-style dense-payload hedge (chars_per_token=1, safety_factor=0.5),
and 5MB rerank payload cap. Pinned by test/ai/zeroentropy-recipe.test.ts
including F1 regression (implementation literal is 'openai-compatible')
and F2 regression (base_url_default ends with /v1, no doubling).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(ai/dims): thread input_type 4th-arg + ZE flexible-dim allowlist

`dimsProviderOptions` gains an optional `inputType?: 'query' | 'document'`
4th param so asymmetric providers (ZE zembed-1, Voyage v3+) can route
query-side vs document-side encoding. Per-model filtering inside the
openai-compatible branch keeps `input_type` from leaking to symmetric
providers (OpenAI text-3, DashScope, Zhipu) that would 400 on it.

Adds `ZEROENTROPY_VALID_DIMS` allowlist (2560/1280/640/320/160/80/40),
`supportsZeroEntropyDimension(modelId)`, and `isValidZeroEntropyDim(dims)`.
Throws `AIConfigError` with paste-ready fix hint when zembed-1 is
configured with an invalid dim (most common: defaulting to 1536 from
DEFAULT_EMBEDDING_DIMENSIONS).

The 4th-arg is optional; existing call sites (1 production + N tests
across Voyage/OpenAI/DashScope/Zhipu/MiniMax) compile unchanged.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(ai/gateway): zeroEntropyCompatFetch + embedQuery + gateway.rerank()

Two seams land together because they share the same recipe + auth path.

zeroEntropyCompatFetch handles ZE's non-OpenAI-compatible wire shape:
  - URL rewrite: SDK's `${base_url}/embeddings` -> `${base_url}/models/embed`
  - Body inject: `input_type` (default 'document'; 'query' when threaded
    via providerOptions) + explicit `encoding_format: 'float'`
  - Response rewrite: `{results: [{embedding}]}` -> `{data: [{embedding,
    index}]}` so the AI SDK's openai-compat schema validates
  - `usage.prompt_tokens` injected from `total_tokens` (Voyage hit the
    same SDK schema requirement at :655)
  - Layer 1 (Content-Length) + Layer 2 (per-embedding size) OOM caps
    via tagged `ZeroEntropyResponseTooLargeError` (kept separate from
    `VoyageResponseTooLargeError` because the Voyage cap tests do
    structural source-text greps pinning the Voyage name)
  - Wired in `instantiateEmbedding()` via the existing
    `recipe.id === 'voyage' ? voyageCompatFetch : ...` ternary pattern

embedQuery(text) routes `inputType: 'query'` through dimsProviderOptions
for the search hot path. Companion to embed(texts) which now takes an
optional 2nd-arg inputType (defaults to undefined -> 'document' for
asymmetric providers).

gateway.rerank() is the new native HTTP path (no AI-SDK reranking
abstraction). Resolves the configured reranker model via
`getRerankerModel()` (new accessor), parses + asserts the model is in
the recipe's touchpoint.reranker.models allowlist (CDX2-F11:
assertTouchpoint does not enforce allowlists for openai-compatible
recipes — rerank() does it directly). Posts to
`${recipe.base_url}/models/rerank` with bearer auth. Returns
`RerankResult[]` sorted by `relevanceScore`. Errors classify into
`RerankError.reason: 'auth' | 'rate_limit' | 'network' | 'timeout' |
'payload_too_large' | 'unknown'`. 5s default timeout. Pre-flight payload
guard rejects bodies over `recipe.max_payload_bytes` BEFORE any HTTP
call so applyReranker can fail-open without burning a round-trip.
`_rerankTransport` + `__setRerankTransportForTests` mirror the embed
test seam.

`AIGatewayConfig.reranker_model` + isAvailable('reranker') branch +
configureGateway / reconfigureGatewayWithEngine extensions thread the
reranker model through the same state path as embedding/expansion/chat.
`applyResolveAuth` + `defaultResolveAuth` widen the touchpoint param to
include `'reranker'`. `KnownTouchpointKey` + `getTouchpoint()` in
model-resolver widen to cover `'reranker'`.

Pinned by:
- test/ai/embedQuery.test.ts (8): returns single Float32Array, threads
  input_type='query' for ZE, drops field for OpenAI text-3,
  back-compat: legacy embed() callers without 4th arg keep their
  previous Voyage no-input_type shape
- test/ai/rerank.test.ts (21): URL (F2 regression — no /v1/v1/), body
  shape, bearer header, response parsing, error classification across
  6 HTTP shapes, payload pre-flight (no transport call), allowlist
  enforcement
- test/ai/zeroentropy-compat-fetch.test.ts (14): structural source
  assertions for the shim that mirror test/voyage-response-cap.test.ts —
  URL rewrite path, body injection, response rewrite, usage.prompt_tokens
  injection, OOM caps Layer 1 + Layer 2 + instanceof rethrow,
  instantiateEmbedding wiring branch

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(search): applyReranker + rerank-failure audit + hybrid wire-in

src/core/search/rerank.ts — the call-site abstraction. Slices the top
`opts.topNIn` deduped candidates, sends to gateway.rerank(), reorders by
relevanceScore desc, appends the un-reranked tail in its original RRF
order (recall protection). Fail-open on every RerankError.reason: logs
via `logRerankFailure` and returns the input array unchanged. Stamps
`rerank_score` onto reordered items. `topNOut: null` is the explicit
"don't truncate" signal — distinct from `undefined` (fall through to
mode bundle); pin in test (CDX2-F16).

src/core/rerank-audit.ts — failure-only JSONL audit at
`~/.gbrain/audit/rerank-failures-YYYY-Www.jsonl` (ISO-week rotation;
mirrors `src/core/audit-slug-fallback.ts`). Exports `logRerankFailure`
+ `readRecentRerankFailures(days)`. **No `logRerankSuccess`** — CDX2-F22
deliberately drops success-event logging: writing once per tokenmax
search is hot-path I/O churn AND success events leak query
volume + timing into a local audit. The doctor check reads
`search.reranker.enabled` first so "no events in window" gets
interpreted correctly (disabled -> healthy by definition; enabled ->
healthy because nothing failed). Query text is SHA-256-prefix-hashed
(8 hex chars) for privacy. Honors `GBRAIN_AUDIT_DIR`.

src/core/search/hybrid.ts — slots `applyReranker` between
`dedupResults()` and `enforceTokenBudget()` in the main RRF path.
Resolution: per-call `opts.reranker` overrides; otherwise pulled from
the resolved mode bundle (tokenmax -> enabled, others -> disabled in
commit 5). Cache rows store final reranked results; the bumped
knobsHash (commit 5) ensures rows can't leak across reranker configs.

src/core/types.ts — adds `SearchOpts.reranker` as a structural type so
callers can pass per-call overrides; runtime type lives in
src/core/search/rerank.ts (avoids circular import).

Tests:
- test/search/rerank.test.ts (14): reorder, tail preserve, fail-open on
  every error class, topNOut null vs number, score stamping, empty +
  enabled=false pass-through
- test/rerank-audit.test.ts (10): JSONL round-trip, error_summary
  truncated to 200, corrupt rows skipped, missing dir -> [], ISO-week
  rotation walks current + previous week, no logRerankSuccess export
  (CDX2-F22 contract)
- test/search/hybrid-reranker-integration.test.ts (6): reranker fires
  when enabled, doesn't when disabled, reorders correctly, preserves
  tail, stamps rerank_score, fail-opens on rerankerFn throw — uses
  PGLite + stubbed embed transport, no API keys

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(search/mode): reranker mode-bundle fields + KNOBS_HASH_VERSION v=2

Extends `ModeBundle` with five reranker fields: `reranker_enabled`,
`reranker_model`, `reranker_top_n_in`, `reranker_top_n_out`,
`reranker_timeout_ms`. Per-mode defaults:

  - conservative -> enabled=false (cost-sensitive)
  - balanced     -> enabled=false (opt-in via search.reranker.enabled)
  - tokenmax     -> enabled=true  (the high-cost-tolerant tier; ~$0.0003/query)

Defaults model to `zeroentropyai:zerank-2`, topNIn=30, topNOut=null
(no truncate by default; preserves tokenmax's searchLimit=50 end-to-end
per CDX2-F16), timeout_ms=5000.

`SearchKeyOverrides` + `SearchPerCallOpts` + `resolveSearchMode.pick`
all extend to thread the new fields through the resolution chain
(per-call -> per-key config -> mode bundle -> default).

`loadOverridesFromConfig` adds parsers for the five new
`search.reranker.*` config keys. `top_n_out` parsing distinguishes
three input shapes (CDX2-F15):
  key absent           -> undefined (fall through to mode bundle)
  'null'|'none'|empty  -> explicit null (no truncate)
  positive integer     -> that number

`SEARCH_MODE_CONFIG_KEYS` extends so `gbrain search modes --reset`
clears the reranker overrides too.

**KNOBS_HASH_VERSION bumps 1 -> 2** (CDX1-F14). Five new entries
appended to `parts[]` (append-only convention CDX2-F13; reordering
existing fields would silently rebuild every existing cache row).
Includes `reranker_timeout_ms` so a 5s -> 100ms change invalidates
stale rows (CDX2-F14: more fail-opens = different search behavior).

Mid-rolling-deploy note (CDX2-F12): v=1 and v=2 processes produce
distinct cacheRowIds for the same (source_id, query_text). Expect a
temporary hit-rate dip + cache-row doubling for hot queries. Clears
naturally within `cache.ttl_seconds` (default 3600s).

src/commands/search.ts extends `KNOB_DESCRIPTIONS` with five new
entries so `gbrain search modes` renders them. test/search-mode.test.ts
extends the three bundle fixtures and bumps the KNOBS_HASH_VERSION
expectation to 2.

Pinned by test/search/knobs-hash-reranker.test.ts (13): each of the 5
reranker fields independently flips the hash, top_n_out=null renders
stable, append-only convention enforced via source-position assertion.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(doctor): probeRerankerConfig + reranker_health check

`gbrain models doctor` gains two new probes:

- `probeRerankerConfig` (zero-network) validates that the configured
  reranker model resolves through the recipe registry, that the recipe
  declares a `reranker` touchpoint, and that the model is in
  `touchpoint.models[]`. Direct allowlist check here — assertTouchpoint
  does not enforce allowlists for openai-compatible recipes (CDX2-F11).
  Surfaces paste-ready `gbrain config set search.reranker.model
  <zerank-2|zerank-1|zerank-1-small>` fix hint.

- `probeRerankerReachability` (1-token-equivalent) sends a minimal
  `{query: "probe", documents: ["probe"]}` rerank to verify auth + URL.
  Failures classify via `classifyError` into auth/rate_limit/network/
  unknown. Skipped silently when reranker is unconfigured.

Also extends `probeEmbeddingConfig` with a `providerId === 'zeroentropyai'`
branch that catches the silent-1536-default bug class for zembed-1
configurations (same posture as the existing Voyage branch).

`ProbeResult.touchpoint` widens to include `'reranker_config'`.

`gbrain doctor` adds `checkRerankerHealth` to both the abbreviated
(doctorReportRemote) and full (runDoctor) check sets. Logic:

  1) Read `search.reranker.enabled` first. Disabled + no failures =>
     'reranker disabled'. Enabled + no failures => healthy.
  2) Walk last 7 days of ~/.gbrain/audit/rerank-failures-*.jsonl.
  3) ANY auth failure warns (config-time problem the probe should have
     caught — surface it).
  4) ANY payload_too_large failure warns (workload mismatch).
  5) Transient (network/timeout/rate_limit) warns at >=5 in window.
     Below that they're noise; reranker fails open anyway.

CDX2-F21 blind-spot fix: reading enabled state first means "no events"
gets interpreted correctly — never confuses "never-used" with "success
logging broken" (the latter is impossible because there is no success
logging by design, CDX2-F22).

Engine-agnostic; file-based + one config-key read.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* test(e2e): ZeroEntropy live API round-trip + wire into Tier 2 CI

test/e2e/zeroentropy-live.test.ts exercises the full stack against the
real api.zeroentropy.dev: embed (default 2560-dim + flexible 1280),
embedQuery (asymmetric query side), batch embed (3 distinct vectors),
rerank (3 docs sorted by relevance score, photosynthesis-relevant docs
beat the irrelevant cat doc), rerank with topN truncation.

Gated on `ZEROENTROPY_API_KEY`: every test prints `[skip]` and returns
early without assertions when the env var is unset, so fork PRs and
contributor machines without a ZE account stay green.

CI wire-up: `.github/workflows/e2e.yml` Tier 2 step adds
`test/e2e/zeroentropy-live.test.ts` to its `bun test` invocation and
exposes `ZEROENTROPY_API_KEY: ${{ secrets.ZEROENTROPY_API_KEY }}` to
the runner. The secret is set on garrytan/gbrain at the repo scope
(separately from this commit — set via `gh secret set` so the value
never lands in source).

Tier 1 stays mechanical (no API keys); Tier 2 is the natural home for
provider-live tests because it's already the API-keyed lane.

Cost: each full run fires ~6 small HTTP calls totaling well under a
cent at the published $0.025/1M-token rate.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* v0.33.3.0 feat: ZeroEntropy zembed-1 + zerank-2 reranker

Release notes for the ZeroEntropy support wave: zembed-1 embeddings
(flexible-dim 2560/1280/640/320/160/80/40, asymmetric input_type) and
zerank-2 cross-encoder reranking land as a new openai-compatible recipe
alongside OpenAI/Voyage. Reranker defaults ON for tokenmax mode, OFF
for conservative/balanced (~$0.0003/query at tokenmax topNIn=30; rounding
error vs the tier's $700/mo Opus pairing per the CLAUDE.md cost matrix).

Search now ends with `RRF -> dedup -> reranker -> token-budget` when
reranker is enabled; fails open to RRF order on any error class
(audit-logged at ~/.gbrain/audit/rerank-failures-*.jsonl).

`KNOBS_HASH_VERSION` bumps 1 -> 2 to fold reranker config into the
query_cache row key. Rolling-deploy operators should expect a temporary
cache hit-rate dip + cache-row doubling for hot queries (clears
naturally within `cache.ttl_seconds`, default 3600s).

Files in this commit are pure docs / version bump:
- VERSION + package.json bump to 0.33.3.0
- CHANGELOG.md release-summary entry with "How to take advantage" block
- CLAUDE.md Key Files annotations for the new recipe + rerank.ts +
  rerank-audit.ts + gateway extensions
- docs/ai-providers/zeroentropy.md one-pager (setup, knob reference,
  failure observability, troubleshooting table)
- skills/migrations/v0.33.3.md (purely informational: no required user
  action; reranker is opt-in everywhere, ZE embedding is opt-in)
- llms-full.txt regenerated to match CLAUDE.md

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-15 06:48:36 -07:00
4fc1246606 v0.24.0: production-hardening pass on the skillify loop (#387)
* feat: v0.19.0 — skillify loop + AGENTS.md compat + brain-first convention

This is the v0.19.0 release. The branch ships four new CLI commands, a
refactor to check-resolvable, and an expansion of the brain-first
convention for sub-agent tool discovery. The original commit message
described only the convention expansion, undercounting the scope by ~5x;
this amend captures the full release.

NEW COMMANDS

- gbrain skillify scaffold <name>     — 4 stub files + idempotent resolver row
- gbrain skillify check [path]        — 10-item post-task audit (promoted)
- gbrain skillpack list / install     — curated 25-skill bundle, atomic install
- gbrain skillpack diff <name>        — per-file diff preview
- gbrain routing-eval                 — dedicated CI verb for Check 5 fixtures

CHECK-RESOLVABLE REFACTOR

- Accepts AGENTS.md as a resolver file alongside RESOLVER.md, at either
  the skills directory or one level up (workspace root layout).
- Auto-derives the skill manifest by walking skills/*/SKILL.md when
  manifest.json is missing.
- Splits ResolvableReport into errors[] + warnings[] so advisory checks
  (filing audit, routing gaps, DRY violations) don't break CI by default.
- New --strict opt-in flag promotes warnings to exit 1.

BRAIN-FIRST CONVENTION

- skills/conventions/brain-first.md expanded from 5-step lookup guide to
  full sub-agent reference: tool inventory, lookup chain, score thresholds,
  authority hierarchy, sync rules, entity page conventions, sub-agent
  propagation rule.

PRODUCTION-READINESS HARDENING (this branch's review pass)

- routing-eval --llm: emits stderr placeholder notice + runs structural
  layer only. README, CHANGELOG, CLI help all rewritten consistently.
  Was a silent no-op against documented contract.
- skillpack installer: receipt comment in fence (cumulative-slugs="...")
  preserves single-skill-install accumulation while letting install --all
  prune removed bundle skills cleanly. Unknown rows preserved + stderr
  warning for the operating agent. Pre-v0.19 fences upgrade silently.
- skillify scaffold: resolver-row regex broadened to detect backticked,
  quoted, and bare path forms. No duplicate row on --force after the
  user normalizes formatting.
- scripts/check-privacy.sh: now wired into package.json test chain so
  the wintermute-ban rule is actually enforced. New regression test.
- E2E Tier 2 (LLM skills) promoted from schedule-only to required per-PR
  CI. Local Tier 1 + Tier 2 verified clean.
- Stale v0.17/v0.18 version labels rewritten across new files.

TESTS

- test/routing-eval-cli.test.ts: 4 cases covering --llm warn semantics
- test/privacy-script-wired.test.ts: regression guard for CI wiring
- test/skillpack-install.test.ts: 4 new cases for receipt + cumulative
  + unknown-row preserve+warn + pre-v0.19 upgrade path
- test/skillify-scaffold.test.ts: 4 new cases for broadened regex

VERIFICATION

- bun test: 2237 pass / 18 known PGLite-contention flakes (CI green;
  documented as P3 dev-experience in TODOS.md)
- bun run typecheck: clean
- bun run test:e2e: 18/19 files green (1 pre-existing flake on master,
  not caused by this branch — verified via git stash)
- llms.txt + llms-full.txt regenerated to match README + CHANGELOG

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* fix: scrub banned fork name from public artifacts

The privacy guard wired into the test chain in this branch caught 5
pre-existing references to the banned OpenClaw fork name in CHANGELOG.md
(2x), skills/migrations/v0.19.0.md (1x), src/cli.ts (1x), and
src/commands/sync.ts (1x). All originated in master's v0.19.0 release
notes and migration doc when the privacy script existed but wasn't
wired into CI yet.

Replacements per CLAUDE.md privacy mapping:
- Origin-story copy (CHANGELOG layer narratives, code comments naming
  the production deployment that drove the feature) → "Garry's OpenClaw"
- Reader-facing migration step → "your OpenClaw"

No code semantics changed. Comments + headings only.

Verification: scripts/check-privacy.sh exits 0, full CI guard chain
green (privacy + jsonb + progress + wasm + typecheck).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* chore: bump VERSION to 0.24.0 + new CHANGELOG entry

Bump branch version above master's v0.21.0 per CLAUDE.md
"CHANGELOG + VERSION are branch-scoped" rule. The new v0.24.0 entry at
the top of CHANGELOG covers what THIS branch adds vs master:

- routing-eval --llm honesty pass (4-surface contract drift fix)
- skillpack installer cumulative-receipt + unknown-row preserve+warn
  (the Codex-caught regression that would have shipped in master if
  the original v0.19.0 had landed without this branch's review pass)
- skillify scaffold resolver-row regex broadening (backtick + quoted
  + bare forms; idempotency contract preserved under hand-editing)
- 5 banned-name leaks scrubbed from public artifacts
- check-privacy.sh wired into CI test chain + regression guard test
- 7 stale v0.17/v0.18 version labels rewritten across 5 files
- Tier 2 (LLM-skills E2E) promoted from schedule-only to required per-PR

VERSION 0.21.0 → 0.24.0
package.json version field synced.
llms.txt + llms-full.txt regenerated (no content drift; sizes match).

Test suite: 62/62 green across the 5 test files this branch added or
extended (routing-eval-cli, privacy-script-wired, skillpack-install,
skillify-scaffold, build-llms).

CI guards: privacy + jsonb + progress + wasm + typecheck all clean.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs: update project documentation for v0.24.0

Auto-discovered drift via /document-release after the v0.24.0 hardening
pass landed. All factual corrections clearly warranted by the diff.

CLAUDE.md:
- Skillpack installer: documented the cumulative-slugs receipt comment,
  install --all prune semantics, unknown-row preserve+warn behavior,
  and pre-v0.24 silent upgrade. Was previously vague about
  "tracks a skill manifest so install --update diffs cleanly" without
  explaining what the receipt is or why it matters.
- routing-eval: replaced the false claim that --llm "opts into a Haiku
  tie-break layer for CI." Now correctly describes the placeholder
  semantic landed in v0.24.0 (stderr notice + structural-only run).

README.md:
- Skillpack section: added one paragraph on the receipt comment + the
  user-visible stderr message for hand-added rows. Connects the safe
  rerun promise to the v0.24.0 implementation that actually enforces it.

CONTRIBUTING.md:
- Running tests section: now recommends `bun run test` (full CI guard
  chain + typecheck + tests) before pushing. Names each guard so new
  contributors understand what catches what. The privacy guard (newly
  wired in v0.24.0) is one of these — without `bun run test` you'd skip
  it locally and find out from CI.

llms-full.txt: regenerated to reflect CLAUDE.md changes.

Verification: full guard chain green locally (privacy + jsonb + progress
+ wasm + typecheck).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Garry Tan <garry@ycombinator.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-30 23:17:54 -07:00
eb218a96ad security: pin GitHub Actions, add gitleaks CI, harden permissions (v0.4.2) (#23)
* security: pin GitHub Actions to commit SHAs, add gitleaks CI

- Pin all 5 actions (checkout, setup-bun, upload-artifact, download-artifact,
  action-gh-release) to commit SHAs across 3 workflow files
- Add permissions: contents: read to test.yml and e2e.yml
- Add gitleaks secret scanning job to test.yml
- Pin openclaw install to v2026.4.9 in e2e.yml

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* security: add .gitleaks.toml config

Allowlists test fixtures, example env files, and skill documentation
to prevent false positives from the gitleaks CI step.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* docs: add GitHub Actions SHA maintenance rule to CLAUDE.md

Instructs /ship and /review to check for stale SHA pins and update
them, keeping action versions fresh without manual effort.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* docs: add S3 Sig V4 TODO from CSO audit

Deferred from security audit. S3 storage backend accepts credentials
but sends unsigned requests. Implement when S3 becomes a real
deployment path.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* chore: bump version and changelog (v0.4.2)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-10 05:26:09 -10:00
a86f995883 feat: GBrain v0.3.0 — contract-first architecture + ClawHub plugin (#7)
* feat: contract-first operations.ts with OperationError, dry_run, importFromContent

30 shared operations as single source of truth for CLI and MCP.
- OperationError with typed error codes (page_not_found, invalid_params, etc.)
- dry_run support on all mutating operations
- importFromContent split from importFile with transaction wrapping
- Idempotency hash now includes ALL fields (title, type, frontmatter, tags)
- Config env var fallback: GBRAIN_DATABASE_URL > DATABASE_URL > config file

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* refactor: rewrite MCP server + CLI + tools-json from operations

server.ts: 233 -> ~80 lines. Tool definitions and dispatch generated from operations[].
cli.ts: shared operations auto-registered, CLI-only commands kept as manual dispatch.
tools-json: generated FROM operations[], eliminating the third contract surface.
Parity test verifies structural contract between operations, CLI, and MCP.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* refactor: delete 12 command files migrated to operations.ts

Handler logic for get, put, delete, list, search, query, health, stats,
tags, link, timeline, and version now lives in operations.ts.
Kept: init, upgrade, import, export, files, embed, sync, serve, call, config.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat: init --non-interactive, upgrade verification, schema migration

- gbrain init --non-interactive --url <url> for plugin mode (no TTY required)
- Post-upgrade version verification in gbrain upgrade
- Drop storage_url from files table (storage_path is the only identifier)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat: tool-agnostic skills + new setup skill

All 7 skills rewritten with intent-based language instead of CLI commands.
Works with both CLI and MCP plugin contexts.
New setup skill replaces install: auto-provision Supabase via CLI,
AGENTS.md injection, target TTHW < 2 min.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat: ClawHub bundle plugin, CI workflows, v0.3.0

- openclaw.plugin.json with configSchema, MCP server config, skill listing
- GitHub Actions: test on push/PR, multi-platform release (macOS arm64 + Linux x64)
- Version bump 0.3.0, CHANGELOG, README ClawHub section, CLAUDE.md updated

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix: idempotency hash mismatch + MCP dry_run passthrough

importFromContent now passes its all-fields hash through putPage via
content_hash on PageInput, so the stored hash matches the computed hash.
Previously the skip-if-unchanged check never fired because the hash
formulas differed.

MCP server now passes dry_run from tool params to OperationContext.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* chore: bump version and changelog (v0.3.0.0)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix: schema loader handles PL/pgSQL $$ blocks

Delete the semicolon-based SQL splitter in db.ts which broke on
PL/pgSQL trigger functions containing semicolons inside $$ delimiter
blocks. Use single conn.unsafe(schemaSql) call instead — the postgres
driver handles multi-statement SQL natively. schema.sql already uses
IF NOT EXISTS / CREATE OR REPLACE for idempotency.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: E2E test infrastructure + realistic brain fixtures

Add test infrastructure for running E2E tests against real
Postgres+pgvector. Includes:
- test/e2e/helpers.ts: DB lifecycle, fixture import, timing, diagnostics
- 13 fixture files as a miniature realistic brain (people, companies,
  deals, meetings, concepts, projects, sources) following the
  compiled truth + timeline format from GBRAIN_RECOMMENDED_SCHEMA.md
- docker-compose.test.yml: local pgvector convenience (port 5433)
- .env.testing.example: template for test credentials
- package.json: add test:e2e script

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: E2E test suites + CI workflow

Tier 1 (mechanical.test.ts): 14 test suites covering all operations
against real Postgres — page CRUD, search with quality scoring, links,
tags, timeline, versions, admin, chunks, resolution, ingest log, raw
data, files, idempotency stress, setup journey (full CLI flow), init
edge cases, schema idempotency, schema diff guard, performance baselines.

Tier 1 (mcp.test.ts): MCP protocol test — spawns server, sends JSON-RPC,
verifies tools/list matches operations count.

Tier 2 (skills.test.ts): OpenClaw skill tests — ingest, query, health.
Skips gracefully when dependencies missing.

CI (.github/workflows/e2e.yml): Tier 1 on every PR (pgvector service),
Tier 2 nightly/manual with API key secrets.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix: E2E test fixes + traverseGraph jsonb cast

- Fix traverseGraph query: cast json_agg to jsonb_agg so SELECT DISTINCT works
- Fix put_page tests to use importFromContent with noEmbed (no OpenAI key in Tier 1)
- Fix get_health assertion (page_count not total_pages)
- Fix raw_data test to handle JSONB string/object return
- Simplify MCP test to verify tool generation directly
- Add timeouts to CLI subprocess tests
- Use port 5434 for docker-compose (5433 often in use)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* docs: update all project docs for E2E test suite

- CLAUDE.md: updated test count (9 unit + 3 E2E), added E2E test
  instructions, fixed skill count to 8
- CONTRIBUTING.md: updated project structure with test/e2e/, added E2E
  test instructions, rewrote "Adding a new command" to reflect
  contract-first architecture (add to operations.ts, done)
- README.md: fixed table count (10 not 9), added recommended schema doc
  to Docs section, added E2E instructions to Contributing section
- CHANGELOG.md: added E2E test suite, docker-compose, schema loader fix,
  and traverseGraph jsonb fix to v0.3.0 entry

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-08 23:26:11 -10:00